The New Algorithm for Fast Probabilistic Hypocenter Locations
The spatial location of sources of seismic waves is one of the first tasks when transient waves from natural (uncontrolled) sources are analysed in many branches of physics, including seismology, oceanology, to name a few. It is well recognised that there is no single universal location algorithm wh...
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| Veröffentlicht in: | Acta geophysica 2016-12, Vol.64 (6), p.2382-2409 |
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| creator | Dębski, Wojciech Klejment, Piotr |
| description | The spatial location of sources of seismic waves is one of the first tasks when transient waves from natural (uncontrolled) sources are analysed in many branches of physics, including seismology, oceanology, to name a few. It is well recognised that there is no single universal location algorithm which performs equally well in all situations. Source activity and its spatial variability in time, the geometry of recording network, the complexity and heterogeneity of wave velocity distribution are all factors influencing the performance of location algorithms. In this paper we propose a new location algorithm which exploits the reciprocity and time-inverse invariance property of the wave equation. Basing on these symmetries and using a modern finite-difference-type eikonal solver, we have developed a new very fast algorithm performing the full probabilistic (Bayesian) source location. We illustrate an efficiency of the algorithm performing an advanced error analysis for 1647 seismic events from the Rudna copper mine operating in southwestern Poland. |
| doi_str_mv | 10.1515/acgeo-2016-0111 |
| format | Article |
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It is well recognised that there is no single universal location algorithm which performs equally well in all situations. Source activity and its spatial variability in time, the geometry of recording network, the complexity and heterogeneity of wave velocity distribution are all factors influencing the performance of location algorithms. In this paper we propose a new location algorithm which exploits the reciprocity and time-inverse invariance property of the wave equation. Basing on these symmetries and using a modern finite-difference-type eikonal solver, we have developed a new very fast algorithm performing the full probabilistic (Bayesian) source location. We illustrate an efficiency of the algorithm performing an advanced error analysis for 1647 seismic events from the Rudna copper mine operating in southwestern Poland.</description><identifier>ISSN: 1895-6572</identifier><identifier>EISSN: 1895-7455</identifier><identifier>DOI: 10.1515/acgeo-2016-0111</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Algorithms ; Earth and Environmental Science ; Earth Sciences ; error analysis ; Geophysics/Geodesy ; Geotechnical Engineering & Applied Earth Sciences ; Heterogeneity ; hypocenter location ; numerical methods ; probabilistic inverse theory ; Probability ; Seismic activity ; Seismic waves ; Seismology ; Spatial analysis ; Structural Geology ; time reversal mirroring ; Velocity distribution ; Wave power ; Wave velocity</subject><ispartof>Acta geophysica, 2016-12, Vol.64 (6), p.2382-2409</ispartof><rights>Dębski and P. 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We illustrate an efficiency of the algorithm performing an advanced error analysis for 1647 seismic events from the Rudna copper mine operating in southwestern Poland.</description><subject>Algorithms</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>error analysis</subject><subject>Geophysics/Geodesy</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Heterogeneity</subject><subject>hypocenter location</subject><subject>numerical methods</subject><subject>probabilistic inverse theory</subject><subject>Probability</subject><subject>Seismic activity</subject><subject>Seismic waves</subject><subject>Seismology</subject><subject>Spatial analysis</subject><subject>Structural Geology</subject><subject>time reversal mirroring</subject><subject>Velocity distribution</subject><subject>Wave power</subject><subject>Wave velocity</subject><issn>1895-6572</issn><issn>1895-7455</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNUD1PwzAQtRBIlMLMGok51OfYTjKAVFWUIlXAUGbr4jhpqjQudirUf49LOjAwsNy94X3cPUJugd6DADFBXRsbMwoypgBwRkaQ5SJOuRDnJyxFyi7JlfcbSiWnwEbkYbU20av5iqZtbV3Tr7dRZV00R99H784WWDRt4_tGR4vDzmrT9cZFS6uxb2znr8lFha03N6c9Jh_zp9VsES_fnl9m02WMnOV9mJpTUaY5yyCnCc0QS8x4KiuseCp0LgpkiIBpVpQ5T7TMNWMmyZiWAgqdjMnd4Ltz9nNvfK82du-6EKkgk4IJKgACazKwtLPeO1OpnWu26A4KqDp2pH46UseO1LGjoHgcFF_YhsdKU7v9IYBf9n8rJZcsnBcM6GDgQ1RX_0OZfAOCr33g</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Dębski, Wojciech</creator><creator>Klejment, Piotr</creator><general>Springer International Publishing</general><general>De Gruyter Open</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20161201</creationdate><title>The New Algorithm for Fast Probabilistic Hypocenter Locations</title><author>Dębski, Wojciech ; 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It is well recognised that there is no single universal location algorithm which performs equally well in all situations. Source activity and its spatial variability in time, the geometry of recording network, the complexity and heterogeneity of wave velocity distribution are all factors influencing the performance of location algorithms. In this paper we propose a new location algorithm which exploits the reciprocity and time-inverse invariance property of the wave equation. Basing on these symmetries and using a modern finite-difference-type eikonal solver, we have developed a new very fast algorithm performing the full probabilistic (Bayesian) source location. 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| subjects | Algorithms Earth and Environmental Science Earth Sciences error analysis Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Heterogeneity hypocenter location numerical methods probabilistic inverse theory Probability Seismic activity Seismic waves Seismology Spatial analysis Structural Geology time reversal mirroring Velocity distribution Wave power Wave velocity |
| title | The New Algorithm for Fast Probabilistic Hypocenter Locations |
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